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随机竞争排斥导致一系列物种灭绝。

Stochastic competitive exclusion leads to a cascade of species extinctions.

作者信息

Capitán José A, Cuenda Sara, Alonso David

机构信息

Department of Applied Mathematics, Technical University of Madrid, Madrid, Spain; Center for Advanced Studies (CEAB-CSIC), Blanes, Catalunya, Spain.

Departamento de Análisis Económico: Economía Cuantitativa, Universidad Autónoma de Madrid, Madrid, Spain.

出版信息

J Theor Biol. 2017 Apr 21;419:137-151. doi: 10.1016/j.jtbi.2017.02.007. Epub 2017 Feb 9.

DOI:10.1016/j.jtbi.2017.02.007
PMID:28189668
Abstract

Community ecology has traditionally relied on the competitive exclusion principle, a piece of common wisdom in conceptual frameworks developed to describe species assemblages. Key concepts in community ecology, such as limiting similarity and niche partitioning, are based on competitive exclusion. However, this classical paradigm in ecology relies on implications derived from simple, deterministic models. Here we show how the predictions of a symmetric, deterministic model about the way extinctions proceed can be utterly different from the results derived from the same model when ecological drift (demographic stochasticity) is explicitly considered. Using analytical approximations to the steady-state conditional probabilities for assemblages with two and three species, we demonstrate that stochastic competitive exclusion leads to a cascade of extinctions, whereas the symmetric, deterministic model predicts a multiple collapse of species. To test the robustness of our results, we have studied the effect of environmental stochasticity and relaxed the species symmetry assumption. Our conclusions highlight the crucial role of stochasticity when deriving reliable theoretical predictions for species community assembly.

摘要

群落生态学传统上依赖于竞争排斥原理,这是在用于描述物种组合的概念框架中的一种常识。群落生态学中的关键概念,如极限相似性和生态位划分,都是基于竞争排斥的。然而,生态学中的这种经典范式依赖于从简单的确定性模型得出的推论。在这里,我们展示了一个对称的确定性模型关于灭绝过程的预测与明确考虑生态漂变(种群统计随机性)时从同一模型得出的结果是如何截然不同的。通过对具有两个和三个物种的组合的稳态条件概率进行解析近似,我们证明随机竞争排斥会导致一系列灭绝,而对称的确定性模型预测物种会多重崩溃。为了检验我们结果的稳健性,我们研究了环境随机性的影响并放宽了物种对称性假设。我们的结论强调了在推导物种群落组装的可靠理论预测时随机性的关键作用。

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